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Cismon del Grappa
City in Veneto, Italy
Overview
Cismon del Grappa is a picturesque small town set in the foothills of the Dolomites along the Brenta River in Veneto. Its idyllic landscapes, historic architecture, and welcoming community make it a peaceful base for exploring Northern Italy's nature and history.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
592
Time Zone
Europe/Rome
Coordinates
45.92°, 11.73°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,530
Local Cost
$960
Local Income
$1,200
Cashless
60
English
45
Temperature
9.6°C
Summer Avg
19.0°C
Winter Avg
0.2°C
Record High
33.3°C
Record Low
-17.6°C
Humidity
76%
Precipitation
1081 mm
Internet Speed
135 Mbps
Upload
121 Mbps
Latency
11 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
TSF
Distance
47 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-23.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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